Uni Village

Jln Broga, 43500, Selangor, Malaysia

Property Transactions

2 subsales grouped by size

Median
RM160,000
PSF
RM341
Period
transactions middle 50% (P25–P75)
500 sqft
Condo
RM155,000
Level 5
484 sqft · RM320 PSF
RM165,000
Level 6
484 sqft · RM341 PSF
Legend Recent Highest Price Highest PSF

Selling in Uni Village? Homes here sold for a median of RM160,000.

Free to list, about two minutes, and the buyers reading this page will see it.

Posts about Uni Village

What’s happening in Uni Village?

No posts about Uni Village yet. Be the first to share what’s happening here.

Loading map...

Uni Village, Jln Broga, 43500, Selangor, Malaysia

Maps

Uni Village in Hulu Langat, Selangor recorded 2 subsale transactions between 2021 and 2026, with a median price of RM160K and a median price per square foot (PSF) of RM341.

Nothing is listed in Uni Village right now. Browse properties for sale in Semenyih and properties for rent in Semenyih nearby, then use the 2 sales recorded here to judge whether an asking price is fair.

This area consists exclusively of residential properties, with no commercial listings recorded.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM160K, with most transactions falling within a stable range of RM155K to RM165K, and a typical market range of RM158K to RM163K.

Most transactions involved condominium/apartment, with minimal variety in property types.

For price per square foot, the median is RM341, with most transactions between RM330 and RM351. The usual range is RM335.39 to RM345.89, showing that most units are priced quite close to each other. A typical spread (IQR) of RM10.50 and an average deviation (MAD) of RM11 indicate a highly stable PSF trend across properties.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. The consistent property type and stable pricing make it easier to assess value and compare trends. Limited transaction history suggests carefully evaluating comparable sales data.